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AI Engineer

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Ironclad

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Location:
United States , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

150000.00 - 180000.00 USD / Year
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Job Description:

Ironclad is accelerating its AI initiatives to transform how legal teams manage contracts. We're looking for a AI/ML Engineer to help shape the future of legal AI. In this role, you’ll work with cutting-edge tools such as HuggingFace, OpenAI APIs, and Rivet to develop state-of-the-art models and intelligent systems that extract structured insights from contracts and power product features used by leading legal teams. You’ll partner closely with product managers and designers to translate user needs into AI-powered product capabilities. You’ll also lead efforts in model evaluation, iteration, and deployment—ensuring our systems are robust, explainable, and continuously improving. As part of our end-to-end ownership model, you’ll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production.

Job Responsibility:

  • Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers
  • Implementing backend services that power document understanding, classification, and natural language search
  • Explore and apply cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision
  • Design and maintain robust systems for prompt management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability
  • Develop and scale retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows
  • Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
  • Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features

Requirements:

  • BS degree in Computer Science, Engineering, or a related field
  • Experience working with large language models (e.g., GPT, Claude) or building RAG systems
  • Experience with embedding models and vector databases
  • Experience in training, evaluating, and serving machine learning models
  • Hands-on experience with Python, backend service development, and RESTful APIs
  • Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
  • Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace, OpenAI, LangChain)
  • Experience with cloud platforms (e.g., GCP, AWS, Azure)
  • Solid understanding of Git or other version control systems
  • Strong engineering fundamentals and attention to code quality, testing, and maintainability
  • Excellent communication and collaboration skills
  • Passion for building AI products that solve real-world customer problems

Nice to have:

  • Familiarity with Vertex AI or other managed ML platforms
  • Experience working with PDF and DOCX parsing for document ingestion
  • Comfort with Docker and containerized development
  • Familiarity with CI/CD systems (e.g., GitHub Actions, CircleCI)
  • Monitoring and observability with tools like Datadog or equivalent
  • Experience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySpark
What we offer:
  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave
  • Family forming support through Maven for you and your partner
  • Paid time off
  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
  • Mental health support through Modern Health, including therapy, coaching, and digital tools
  • Pre-tax commuter benefits (US Employees)
  • 401(k) plan with Fidelity with employer match (US Employees)
  • Regular team events to connect, recharge, and have fun
  • Offers Equity

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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